Techniques for higher order analysis of radar clutter and their application to L-band LIFE data
E Conte - University of Napoli, Antonio De Maio - , Alfonso Farina -
Wed, 28 April 2004, 1:30 PM - 3:20 PM
In this paper we design two statistical tests to
ascertain whether radar data comply with the hypotheses of
multivariate Gaussianity and
covariance persymmetry. For the first issue
we develop a statistical procedure based on quadratic distributional distances,
which exploits the representation of Gaussian vectors in generalized
spherical coordinates. Moreover, in order to analyze the persymmetry property of the disturbance covariance
matrix, we design a testing procedure based on the generalized likelihood ratio test.
We thus apply the new tests to L-Band experimentally measured clutter data, collected by the
MIT Lincoln Laboratory Phase One radar,
at the Katahdin Hill site.